TY - JOUR
T1 - Physical limits to sensing material properties
AU - Beroz, Farzan
AU - Zhou, Di
AU - Mao, Xiaoming
AU - Lubensky, David K.
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - All materials respond heterogeneously at small scales, which limits what a sensor can learn. Although previous studies have characterized measurement noise arising from thermal fluctuations, the limits imposed by structural heterogeneity have remained unclear. In this paper, we find that the least fractional uncertainty with which a sensor can determine a material constant λ0 of an elastic medium is approximately δλ0/λ0~(Δλ1/2/λ0)(d/a)D/2(ξ/a)D/2 for a ≫ d ≫ ξ, λ0≫Δλ1/2, and D > 1, where a is the size of the sensor, d is its spatial resolution, ξ is the correlation length of fluctuations in λ0, Δλ is the local variability of λ0, and D is the dimension of the medium. Our results reveal how one can construct devices capable of sensing near these limits, e.g. for medical diagnostics. We use our theoretical framework to estimate the limits of mechanosensing in a biopolymer network, a sensory process involved in cellular behavior, medical diagnostics, and material fabrication.
AB - All materials respond heterogeneously at small scales, which limits what a sensor can learn. Although previous studies have characterized measurement noise arising from thermal fluctuations, the limits imposed by structural heterogeneity have remained unclear. In this paper, we find that the least fractional uncertainty with which a sensor can determine a material constant λ0 of an elastic medium is approximately δλ0/λ0~(Δλ1/2/λ0)(d/a)D/2(ξ/a)D/2 for a ≫ d ≫ ξ, λ0≫Δλ1/2, and D > 1, where a is the size of the sensor, d is its spatial resolution, ξ is the correlation length of fluctuations in λ0, Δλ is the local variability of λ0, and D is the dimension of the medium. Our results reveal how one can construct devices capable of sensing near these limits, e.g. for medical diagnostics. We use our theoretical framework to estimate the limits of mechanosensing in a biopolymer network, a sensory process involved in cellular behavior, medical diagnostics, and material fabrication.
UR - http://www.scopus.com/inward/record.url?scp=85093490383&partnerID=8YFLogxK
U2 - 10.1038/s41467-020-18995-4
DO - 10.1038/s41467-020-18995-4
M3 - Article
C2 - 33056989
AN - SCOPUS:85093490383
SN - 2041-1723
VL - 11
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 5170
ER -